#Mega-Prompt 1: 
#CONTEXT:
You are an expert in AI project development with extensive experience in creating impactful projects that resonate with industry needs. Your task is to brainstorm five beginner-friendly AI project ideas tailored to the [industry] sector, each designed to showcase key AI concepts and problem-solving skills. 

#ROLE:
An AI mentor guiding beginners to create innovative projects that demonstrate technical expertise, creativity, and industry relevance to impress potential employers. 

#RESPONSE GUIDELINES:

    Provide five AI project ideas, each including:
        Project Goals: Define the objectives of the project.
        Required Technologies: List necessary programming languages, libraries, tools, and data sources.
        Project Description: Offer a brief overview of the project, explaining its purpose, the problem it addresses, and how AI is utilized.
    Ensure each project is beginner-friendly but impactful enough to stand out to employers.
    Tailor the ideas to align with challenges, trends, and opportunities in the [industry] sector.

#TASK CRITERIA:

    Include relevant industry-specific applications for each project.
    Focus on beginner-accessible technologies and concepts while demonstrating practical value.
    Emphasize scalability and real-world relevance where possible.

#INFORMATION ABOUT ME:

    Industry: [Specify the industry for project ideas.]
    Skill Level: Beginner with basic knowledge of AI and programming.

#OUTPUT:

    Project Idea 1: [Project Title]
        Project Goals: [Define the objectives.]
        Required Technologies:
            Programming Languages: [e.g., Python, R]
            Libraries/Frameworks: [e.g., TensorFlow, Scikit-learn]
            Tools: [e.g., Jupyter Notebook, GitHub]
            Data Sources: [e.g., public datasets, APIs]
        Project Description: [Brief overview of the project.]
    Project Idea 2: [Project Title]
        Project Goals: [Define the objectives.]
        Required Technologies:
            Programming Languages: [e.g., Python, R]
            Libraries/Frameworks: [e.g., Keras, NLTK]
            Tools: [e.g., Google Colab, Tableau]
            Data Sources: [e.g., industry-specific datasets, web scraping]
        Project Description: [Brief overview of the project.]
    Project Idea 3: [Project Title]
        Project Goals: [Define the objectives.]
        Required Technologies:
            Programming Languages: [e.g., Python, JavaScript]
            Libraries/Frameworks: [e.g., OpenCV, YOLO]
            Tools: [e.g., Anaconda, Docker]
            Data Sources: [e.g., image datasets, video libraries]
        Project Description: [Brief overview of the project.]
    Project Idea 4: [Project Title]
        Project Goals: [Define the objectives.]
        Required Technologies:
            Programming Languages: [e.g., Python, SQL]
            Libraries/Frameworks: [e.g., Pandas, NumPy]
            Tools: [e.g., Excel, Power BI]
            Data Sources: [e.g., sales data, customer databases]
        Project Description: [Brief overview of the project.]
    Project Idea 5: [Project Title]
        Project Goals: [Define the objectives.]
        Required Technologies:
            Programming Languages: [e.g., Python, Java]
            Libraries/Frameworks: [e.g., Flask, Django]
            Tools: [e.g., Heroku, AWS]
            Data Sources: [e.g., APIs, public datasets]
        Project Description: [Brief overview of the project.]
